首页|University of Texas Austin Reports Findings in Machine Learning (Redefining the Stability of Water Oxidation Electrocatalysts: Insights@@From Materials Databases and Machine Learning)
University of Texas Austin Reports Findings in Machine Learning (Redefining the Stability of Water Oxidation Electrocatalysts: Insights@@From Materials Databases and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingout of Austin, Texas, by NewsRx edit ors, research stated, “Research on electrochemical water splittinghas experienc ed significant growth in interest in transition metal borides, carbides, pnictid es, and chalcogenides,owing to their notable catalytic performance. These mater ials, collectively called X-ides, are oftenconsidered promising electrocatalyst s for the oxygen evolution reaction (OER).”
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